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<a href="_dropout_layer_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment"> * </span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \brief       -</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> *</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * \author      O.Krause</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * \date        2017</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> *</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> *</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * </span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * </span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * </span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * </span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> *</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> */</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="preprocessor">#ifndef MODELS_DROPOUTLAYER_H</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="preprocessor">#define MODELS_DROPOUTLAYER_H</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span> </div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#include &lt;<a class="code" href="_random_8h.html">shark/Core/Random.h</a>&gt;</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="preprocessor">#include &lt;<a class="code" href="_base_8h.html">shark/LinAlg/Base.h</a>&gt;</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_model_8h.html">shark/Models/AbstractModel.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a>{</div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment"></span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment">/// \brief Implements Dropout layer semantics</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span><span class="comment">///</span></div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span><span class="comment">/// A dropout layer drops its input, i.e. sets it to 0 with a given probability. This is done for each element</span></div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="comment">/// separately. This means, model prodections are not deterministic any more. Thus, after training the </span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="comment">/// output of several evaluations should be averaged. </span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span><span class="comment">///</span></div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment">/// Dropout during training often leads to better regularized solutions in deep neural networks.</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">///</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> VectorType = RealVector&gt;</div>
<div class="foldopen" id="foldopen00048" data-start="{" data-end="};">
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html">   48</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_dropout_layer.html" title="Implements Dropout layer semantics.">DropoutLayer</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;VectorType, VectorType, VectorType&gt;{</div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;VectorType,VectorType, VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html">base_type</a>;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span>    <span class="keyword">typedef</span> blas::matrix&lt;int, blas::row_major, typename VectorType::device_type&gt; MatrixType;</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span>    <span class="keyword">struct </span>InternalState: <span class="keyword">public</span> <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>{</div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span>        MatrixType mask;</div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span>    };</div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> m_shape;</div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span>    random::rng_type* mep_rng;</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span>    <span class="keywordtype">double</span> m_dropoutProbability;</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span>    </div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">   60</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a>;</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">   61</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a>;</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">   62</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">base_type::ParameterVectorType</a> <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">ParameterVectorType</a>;</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span> </div>
<div class="foldopen" id="foldopen00064" data-start="{" data-end="}">
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a194c5518dfef32ed4391ee8838176219">   64</a></span>    <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a194c5518dfef32ed4391ee8838176219">DropoutLayer</a>(<a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a1b3f8027154aba85b6d60192ccff825b" title="Returns the expected shape of the input.">inputShape</a>, <span class="keywordtype">double</span> probability = 0.5, random::rng_type&amp; rng = <a class="code hl_variable" href="namespaceshark_1_1random.html#ab5c1547eee483974d008d43f621a2234">random::globalRng</a>)</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span>    : m_shape(<a class="code hl_function" href="classshark_1_1_dropout_layer.html#a1b3f8027154aba85b6d60192ccff825b" title="Returns the expected shape of the input.">inputShape</a>), mep_rng(&amp;rng), m_dropoutProbability(probability){</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">base_type::HAS_FIRST_PARAMETER_DERIVATIVE</a>;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">base_type::HAS_FIRST_INPUT_DERIVATIVE</a>;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span>    }</div>
</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment"></span> </div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00071" data-start="{" data-end="}">
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#ab8e9310d7d4b68498cab365cb7fd2467">   71</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_dropout_layer.html#ab8e9310d7d4b68498cab365cb7fd2467" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;DropoutLayer&quot;</span>; }</div>
</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span><span class="comment"></span> </div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span><span class="comment">    /// obtain the parameter vector</span></div>
<div class="foldopen" id="foldopen00075" data-start="{" data-end="}">
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#adeea5374f92a670be86d50c3eb054afd">   75</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">ParameterVectorType</a> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#adeea5374f92a670be86d50c3eb054afd" title="obtain the parameter vector">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span>        <span class="keywordflow">return</span> <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">ParameterVectorType</a>();</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    }</div>
</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment"></span> </div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="comment">    /// overwrite the parameter vector</span></div>
<div class="foldopen" id="foldopen00080" data-start="{" data-end="}">
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#ade190bb0b883e952ea8d5a04a4699567">   80</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#ade190bb0b883e952ea8d5a04a4699567" title="overwrite the parameter vector">setParameterVector</a>(<a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">ParameterVectorType</a> <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(newParameters.size() == 0);</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    }</div>
</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span><span class="comment"></span> </div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span><span class="comment">    /// return the number of parameter</span></div>
<div class="foldopen" id="foldopen00085" data-start="{" data-end="}">
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a93d3cabf7b99d34255bf5820d169994c">   85</a></span><span class="comment"></span>    <span class="keywordtype">size_t</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a93d3cabf7b99d34255bf5820d169994c" title="return the number of parameter">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        <span class="keywordflow">return</span> 0;</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span>    }</div>
</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>    <span class="comment"></span></div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span><span class="comment">    ///\brief Returns the expected shape of the input</span></div>
<div class="foldopen" id="foldopen00090" data-start="{" data-end="}">
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a1b3f8027154aba85b6d60192ccff825b">   90</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a1b3f8027154aba85b6d60192ccff825b" title="Returns the expected shape of the input.">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>        <span class="keywordflow">return</span> m_shape;</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno">   92</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span><span class="comment">    ///\brief Returns the shape of the output</span></div>
<div class="foldopen" id="foldopen00094" data-start="{" data-end="}">
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a5707772833530fd29f7f81734e59af47">   94</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a5707772833530fd29f7f81734e59af47" title="Returns the shape of the output.">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        <span class="keywordflow">return</span> m_shape;</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>    }</div>
</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span> </div>
<div class="foldopen" id="foldopen00098" data-start="{" data-end="}">
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a91e4f300eb52f22ca8a39c8c6b26f039">   98</a></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a91e4f300eb52f22ca8a39c8c6b26f039" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> InternalState());</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>    }</div>
</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span> </div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>    <span class="keyword">using </span><a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">base_type::eval</a>;</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span> </div>
<div class="foldopen" id="foldopen00104" data-start="{" data-end="}">
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a2db6e780acbcf5242934c05edc46d2ad">  104</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a2db6e780acbcf5242934c05edc46d2ad" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a> <span class="keyword">const</span>&amp; inputs, <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a>&amp; outputs)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>        outputs.resize(inputs.size1(),inputs.size2());</div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span>        noalias(outputs) = inputs;</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != outputs.size1(); ++i){</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != outputs.size2(); ++j){</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>                <span class="keywordflow">if</span>(!<a class="code hl_function" href="namespaceshark_1_1random.html#ada5e9e6fd77534e1d99479213e5fed50" title="Flips a coin with probability of heads being pHeads by drawing random numbers from rng.">random::coinToss</a>(*mep_rng,m_dropoutProbability)){</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>                    outputs(i,j) = 0;</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>                }</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>            }</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>        }</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span>    }</div>
</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span> </div>
<div class="foldopen" id="foldopen00116" data-start="{" data-end="}">
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a048b1e1c1ec0609ce1791f6c5401db5d">  116</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a048b1e1c1ec0609ce1791f6c5401db5d">eval</a>(<a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a> <span class="keyword">const</span>&amp; input, <a class="code hl_typedef" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">VectorType</a>&amp; output)<span class="keyword">const </span>{</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>        output.resize(input.size());</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span>        noalias(output) = input;</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <span class="keywordflow">for</span>(std::size_t j = 0; j != output.size(); ++j){</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>            <span class="keywordflow">if</span>(!<a class="code hl_function" href="namespaceshark_1_1random.html#ada5e9e6fd77534e1d99479213e5fed50" title="Flips a coin with probability of heads being pHeads by drawing random numbers from rng.">random::coinToss</a>(*mep_rng,m_dropoutProbability)){</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>                output(j) = 0;</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>            }</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        }</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    }</div>
</div>
<div class="foldopen" id="foldopen00125" data-start="{" data-end="}">
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#af5f9f6f4a84a406ea1153de2e634531c">  125</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#af5f9f6f4a84a406ea1153de2e634531c" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a> <span class="keyword">const</span>&amp; inputs, <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a>&amp; outputs, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp; state)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        MatrixType&amp; mask = state.<a class="code hl_function" href="structshark_1_1_state.html#a9847e65e063245c6b02371c8b84f8da3" title="Safely downcast State to it&#39;s derived type.">toState</a>&lt;InternalState&gt;().mask;</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>        outputs.resize(inputs.size1(),inputs.size2());</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>        mask.resize(inputs.size1(),inputs.size2());</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != outputs.size1(); ++i){</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != outputs.size2(); ++j){</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>                mask(i,j) = <a class="code hl_function" href="namespaceshark_1_1random.html#ada5e9e6fd77534e1d99479213e5fed50" title="Flips a coin with probability of heads being pHeads by drawing random numbers from rng.">random::coinToss</a>(*mep_rng,m_dropoutProbability);</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>            }</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        }</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        noalias(outputs) = inputs * mask;</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>    }</div>
</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno">  136</span><span class="comment"></span> </div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span><span class="comment">    ///\brief Calculates the first derivative w.r.t the parameters and summing them up over all patterns of the last computed batch</span></div>
<div class="foldopen" id="foldopen00138" data-start="{" data-end="}">
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a463d90503846768a7bd111881f178f6c">  138</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a463d90503846768a7bd111881f178f6c" title="Calculates the first derivative w.r.t the parameters and summing them up over all patterns of the las...">weightedParameterDerivative</a>(</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a> <span class="keyword">const</span>&amp; patterns, </div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a> <span class="keyword">const</span>&amp; coefficients,</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state, </div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a5afad3ac1ca85c8745900ccf74638acb">ParameterVectorType</a>&amp; gradient</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size1()==patterns.size1());</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size2()==patterns.size2());</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span><span class="comment">    ///\brief Calculates the first derivative w.r.t the inputs and summs them up over all patterns of the last computed batch</span></div>
<div class="foldopen" id="foldopen00149" data-start="{" data-end="}">
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a3c09852df31dd53eca754ded34fe5531">  149</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a3c09852df31dd53eca754ded34fe5531" title="Calculates the first derivative w.r.t the inputs and summs them up over all patterns of the last comp...">weightedInputDerivative</a>(</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a> <span class="keyword">const</span> &amp; patterns,</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a> <span class="keyword">const</span> &amp; outputs,</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a7a1a78269526acd2e0a42b1959bd3e88">BatchOutputType</a> <span class="keyword">const</span> &amp; coefficients,</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        <a class="code hl_typedef" href="classshark_1_1_dropout_layer.html#a8f6384ab6da747494308094f61dcb518">BatchInputType</a>&amp; derivative</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size1() == patterns.size1());</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size2() == patterns.size2());</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span> </div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        MatrixType <span class="keyword">const</span>&amp; mask = state.<a class="code hl_function" href="structshark_1_1_state.html#a9847e65e063245c6b02371c8b84f8da3" title="Safely downcast State to it&#39;s derived type.">toState</a>&lt;InternalState&gt;().mask;</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>        derivative.resize(coefficients.size1(),coefficients.size2());</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        noalias(derivative) = coefficients * mask;</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>    }</div>
</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span><span class="comment"></span> </div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span><span class="comment">    /// From ISerializable</span></div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#a437851bcf235d76b8b9a5420f642bdea">  165</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#a437851bcf235d76b8b9a5420f642bdea" title="From ISerializable.">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; archive){archive &gt;&gt; m_dropoutProbability;}<span class="comment"></span></div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span><span class="comment">    /// From ISerializable</span></div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"><a class="line" href="classshark_1_1_dropout_layer.html#af43aa5910f185e67e2dc2d4bb7c94406">  167</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_dropout_layer.html#af43aa5910f185e67e2dc2d4bb7c94406" title="From ISerializable.">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; archive)<span class="keyword"> const</span>{ archive &lt;&lt; m_dropoutProbability;}</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>};</div>
</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span> </div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span> </div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>}</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span> </div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span><span class="preprocessor">#endif</span></div>
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